{"id":"W2005595047","doi":"10.4236/pos.2014.54013","title":"Single Point Positioning Using GPS, GLONASS and BeiDou Satellites","year":2014,"lang":"en","type":"article","venue":"Positioning","topic":"GNSS positioning and interference","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Central South University; Université Laval","keywords":"Global Positioning System; GLONASS; Pseudorange; Precise Point Positioning; Geodesy; BeiDou Navigation Satellite System; Remote sensing; Real Time Kinematic; Satellite; GNSS applications; Computer science; Satellite navigation; Elevation (ballistics); Dilution of precision; Geography; Telecommunications; Mathematics; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000466363,0.0007133887,0.0005919839,0.001749732,0.0004452254,0.000616182,0.0006558157,0.0005092262,0.001231791],"category_scores_gemma":[0.0007148665,0.0002696801,0.0003729044,0.001767055,0.000289192,0.0007819664,0.0008823407,0.0002367345,0.0007582433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004821794,"about_ca_system_score_gemma":0.0007136763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331609,"about_ca_topic_score_gemma":0.01378647,"domain_scores_codex":[0.9990113,0.0001459436,0.00003149442,0.0002412313,0.000461705,0.0001083538],"domain_scores_gemma":[0.99972,0.0000327856,0.00003663349,0.00005364808,0.0001292749,0.00002764724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008220872,0.00007144931,0.04253488,0.0004841702,0.0001996545,0.000416061,0.0006531173,0.02635174,0.2092738,0.002454993,0.002109206,0.7146289],"study_design_scores_gemma":[0.0003638859,0.004182731,0.3091626,0.0003044849,0.0008431804,0.00324381,0.001808707,0.2501701,0.3546992,0.003725823,0.07105308,0.0004424124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402644,0.00312703,0.233075,0.0001861541,0.0003160805,0.0001765902,0.00100821,0.002164971,0.01968161],"genre_scores_gemma":[0.8698725,0.0008766008,0.123543,0.00004580116,0.00006334718,0.00008237876,0.0009937708,0.00006405252,0.00445854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008331609,"threshold_uncertainty_score":0.01656622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151533885152697,"score_gpt":0.202348476810071,"score_spread":0.190833137958544,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}